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Lindle for Marketing leadership

AI for marketing leaders: turn complexity into a clear team plan.

Give specialists a shared direction and explain the reasoning behind your priorities.

Discuss your marketing prioritiesWorking with your agency

Marketing leadership

Turn marketing complexity into a clear team plan.

Lindle helps you bring customer discovery, channel performance and previous decisions together, so your team can focus on useful work.

  • Establish shared priorities across specialists.
  • Give briefs a clear commercial purpose.
  • Prepare a credible progress update.

Practical use cases

  • Review discovery across search and AI answers.
  • Investigate campaign and website signals together.
  • Prepare agency briefs and define ownership.
  • Build an agreed plan for emerging channels.

Questions you could investigate

  • “Which opportunities should our team investigate first?”
  • “Turn these findings into a brief for our specialists.”
  • “What changed after the work we delivered?”
Work to take into a meeting
A marketing priorities brief with evidence, workstreams, owners and a measurement plan.
Why it helps with leadership
Show why the team chose its priorities and what it learned.
Measures worth agreeing
Qualified demand, commercial outcomes, delivery progress and discovery measures relevant to the objective.
Capabilities and connections
Discovery research, campaign investigation, prepared briefs, team collaboration and outcome reviews. Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Something useful to take into your next meeting.

An example of the Marketing leadership work you could prepare.

Marketing priorities brief

Illustrative output

Business question
Which opportunities should our team investigate first?
Evidence needed
Discovery across search and AI answers, campaign signals and previous decisions.
Priority
Agree the workstreams that deserve attention first, and why.

Illustrative output. Actual work depends on your question, available evidence and agreed scope.

Explore the work behind the answer.

Capabilities most relevant to Marketing leadership.

  • AI discoverability

    Buyer questions, mentions, recommendations and citations across leading AI assistants. This describes AI visibility, not traffic or revenue.

    About factual reinforcement

    Verified facts can be supplied in separate follow-up conversations. Those responses are assessed separately from independent discovery.

  • Campaign performance

    Investigation of campaign results with business context.

  • Prepared work

    Briefs, plans, drafts and measurement specifications.

  • Team collaboration

    Shared evidence, clear ownership and reviews.

  • Outcome measurement

    Compare relevant evidence after delivery. Commercial outcomes need suitable outcome and cost data.

Work with the systems your team already uses.

Start with the question you want to answer. Agree which sources, connections and permissions are needed to investigate it.

For this role: Analytics, ecommerce and marketing systems, subject to specific integration support and permissions.

Specific connections, supported actions and access are agreed first. See available connections

New in the role? Start with a useful decision.

  1. 1

    Establish the starting point

    Choose a business question, available evidence and agreed definitions.

  2. 2

    Identify a priority

    Investigate the findings and decide what deserves attention.

  3. 3

    Prepare the work

    Create a brief with an owner, review requirements and success measure.

  4. 4

    Review what changed

    Check delivery, examine the results and decide what to do next.

A suggested working approach, not a guaranteed delivery timetable or a description of the trial scope.

See how teams have put Lindle to work.

  • AO logo

    Acquisition and commercial measurement: AO made AI-referred demand a measurable acquisition channel.

    £1m+ More than £1 million in estimated revenue from AI-referred visits over 12 months.

    Read the AO case study
  • BestHeating logo

    Category investigation and content priorities: BestHeating focused content work on a priority commercial category.

    More than 2× Targeted visibility

    Read the BestHeating case study

Observed customer outcomes are not guaranteed results. Each story uses the measure appropriate to its question. All case studies

Frequently asked questions

What is Lindle in simple terms?
Lindle helps teams investigate business questions using relevant evidence, prepare practical work and review what changes.
How does Lindle fit alongside our CRM and analytics?
Your existing systems hold important information. Lindle can use supported, permissioned connections to help investigate questions across relevant sources and prepare next steps.
Do I need to understand AEO or GEO?
No. Start with a question about customer discovery or business performance. The terminology can be explained as it becomes relevant.
Can Lindle help prepare work?
Yes. Depending on the agreed task, work can include research, briefs, draft content, action plans and measurement specifications.
Can our agency use it with us?
Lindle is designed to support shared evidence and clear ownership alongside your internal team and specialist partners.
What happens before an external change?
The work requires the appropriate permissions and approval.
What is included in the free trial?
Your 14-day trial starts when you sign up. Daily AI visibility reports begin after you finish setup and review your questions. Connect Google Analytics 4 and complete the first analytics report within those 14 days to extend your trial to 30 days in total from signup. No credit card. No automatic billing. Any paid continuation is agreed with you. The trial includes your visibility baseline, daily observations and evidence to explore. An introductory conversation helps you consider the next step. Specialist implementation and wider programmes are scoped separately.
How do we measure value?
Agree the decision, starting point, work delivered and relevant outcomes. Commercial return needs suitable outcome and cost data.

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